Product Design Assistant

featuring LLMs , TRIZ and DFx methodologies

This documentation provides a comprehensive overview of the integration of Large Language Models (LLMs) with TRIZ (Theory of Inventive Problem Solving) and DFX (Design for X) methodologies. The project aims to leverage the advanced natural language processing capabilities of LLMs to enhance innovation processes and optimize product designs across various criteria including cost, performance, and manufacturability. By synthesizing the principles of TRIZ and the flexibility of DFX approaches, the project explores how AI can drive creative solutions and streamline design processes in engineering and product development.

Contents

Intorduction

• Purpose and significance of integrating LLMs with TRIZ and DFX
• overview of the project

Background

• Brief explanation of Large Language Models (LLMs)
  • Large language models (LLM)
• Overview of Design for X (DFX) principles
  • Importance of DFx in our application